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Application of Hidden Markov Model in genetic data
hmm-applications's Introduction
1. Using Hidden Markov Model to identify DNA replication timing variation regions
- Used Continuous Density Hidden Markov Model to predict regions with high variations of DNA replication timing
- Combined forward and backward algorithm with EM algorithm to train parameters in HMM
- used Mix Gaussian model to estimate continuous observation density
2. Using Gibbs sampling in a Markov chain Monte Carlo approach to find motifs from sequence data
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